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Active, not recruitingNCT07886788PhotoGrapeUpdated Oct 21, 2026

Study of Grape Consumption in Adaptation to Seasonal Photoperiod

An interventional study of Freeze-Dried Grape Powder and Plain Low-Fat Yogurt in Metabolic Dysfunction-Associated Steatotic Liver Disease, Overweight and Obesity & Overweight, sponsored by University Rovira i Virgili. Active, not recruiting at 1 site in Spain. Open to participants aged 30 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-21.

Sponsored by University Rovira i Virgili · Not applicable, Interventional, and Basic science

Updated Oct 21, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
46
Allocation
Randomized
Ages
30 Years to 70 Years
Sex
All
01

Study summary

The goal of this randomized clinical trial is to learn whether consuming grapes during their natural season can help the body adapt to the shorter daylight hours of winter. The study includes men and women aged 30-70 years with either normal weight or overweight or obesity and metabolic dysfunction-associated steatotic liver disease (MASLD).

The main questions it aims to answer are:

  • Does seasonal grape consumption change circulating microRNAs, small molecules involved in regulating gene activity?
  • Does grape consumption influence sleep, physical activity, metabolic markers, body composition, muscle function, and gut bacteria during the transition to winter?

Within each population group, researchers will compare participants consuming yogurt with freeze-dried grape powder with participants consuming the same yogurt without grape powder. Both groups will receive the same Mediterranean-style dietary guidance.

Participants will:

  • Consume two yogurts daily for 3 weeks, either with or without a total daily dose of 16 grams of freeze-dried grape powder, equivalent to approximately 80 grams of fresh grapes.
  • Complete a further 2 weeks of follow-up without the grape intervention.
  • Attend an initial information visit and three assessment visits for blood sampling, stool sample collection, and measurements of body composition and muscle function.
  • Wear a wrist device to monitor sleep and physical activity.
  • Complete questionnaires, dietary records, and a sleep diary.
Read the detailed description

This study investigates the role of seasonal fruit consumption in human adaptation to changes in day length. Seasonal variations in daylight influence biological rhythms and metabolic regulation. Dietary signals may also contribute to this adaptation, although evidence from human intervention studies remains limited.

The scientific rationale is based on the xenohormesis hypothesis, which proposes that plant-derived compounds can convey information about the environmental conditions in which plants grow. Grape polyphenols may therefore act as seasonal signals that influence physiological responses in the individuals consuming them. Previous preclinical research has shown that the biological effects of grape polyphenols can depend on photoperiod and may involve biological clocks, metabolic pathways, gut microbiota, and epigenetic regulation.

This study evaluates this hypothesis in humans during the transition to the winter photoperiod. The intervention is scheduled during the local grape harvest season, with its completion aligned with the autumn clock change. Follow-up after discontinuation of grape supplementation will allow researchers to explore whether any observed responses persist during the subsequent seasonal transition.

The study includes two population cohorts representing different metabolic contexts: individuals with normal weight and individuals with overweight or obesity and metabolic dysfunction-associated steatotic liver disease (MASLD). Randomization to grape supplementation or control is performed within each cohort. A common Mediterranean-style dietary framework is used in both intervention groups.

The research combines molecular profiling with physiological and behavioral assessments to explore potential links between dietary seasonal signals and adaptation to winter. Biological samples are collected at synchronized assessment periods, while wrist-worn devices provide longitudinal information on sleep and activity under everyday living conditions.

The study is not double-blind because the control product does not contain a specifically formulated placebo. Whenever feasible, biological sample processing and analysis will be performed with researchers masked to intervention allocation.

02

Conditions studied

  • Metabolic Dysfunction-Associated Steatotic Liver Disease
  • Overweight
  • Obesity & Overweight

Keywords

  • Seasonal grape consumption
  • Grape polyphenols
  • Chrononutrition
  • Seasonal photoperiod
  • Circadian rhythms
  • Metabolic adaptation
  • Circulating microRNAs
  • Epigenetics
  • Gut microbiota
  • Sleep-wake patterns
03

In context

Overweight

3,767 studies on the registry are indexed under Overweight; 863 are open to participants now.

This study's enrollment of 46 is below the median of 73 across 3,263 interventional studies indexed under Overweight.

Browse Overweight studies →

Lead sponsor

University Rovira i Virgili is the lead sponsor of 52 studies on the registry; 9 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
30 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Men and women aged 30-70 years.
  • Body mass index (BMI) between 18.5 and 39.9 kg/m².
  • Written informed consent.
  • Membership in one of the following population groups:
  • Normal-weight group: BMI between 18.5 and 24.9 kg/m².
  • Overweight or obesity group: BMI between 25.0 and 39.9 kg/m² and a diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD).

Exclusion criteria

Exclusion Criteria:

  • Alcohol consumption exceeding 10 g/day or use of other toxic substances.
  • Acute or chronic liver disease of an etiology other than MASLD.
  • Active inflammatory, infectious, or neoplastic disease.
  • Pregnancy.
  • Women receiving hormonal contraceptive treatment.
  • Antibiotic treatment within the 4 weeks before enrollment.
  • Chronic treatment with corticosteroids and/or nonsteroidal anti-inflammatory drugs (NSAIDs).
  • Milk protein allergy.
  • Grape-related food intolerances.
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
46 participants (actual)

Study arms

  • Experimental
    Experimental: Freeze-Dried Grape Powder with Yogurt

    Participants consume 16 g of freeze-dried grape powder daily, equivalent to approximately 80 g of fresh grapes, divided between two servings of plain, low-fat yogurt without added sugar, taken in the morning and afternoon for 3 weeks. Participants also receive Mediterranean-style dietary guidance. The intervention is followed by 2 weeks without grape supplementation.

    Dietary Supplement: Freeze-Dried Grape Powder · Other: Plain Low-Fat Yogurt · Behavioral: Mediterranean-Style Dietary Guidance

  • Active comparator
    Control: Yogurt Alone

    Participants consume two servings of plain, low-fat yogurt without added sugar daily, taken in the morning and afternoon for 3 weeks, without freeze-dried grape powder. Participants receive the same Mediterranean-style dietary guidance as the experimental arm. The intervention is followed by a 2-week follow-up period.

    Other: Plain Low-Fat Yogurt · Behavioral: Mediterranean-Style Dietary Guidance

Interventions

  • Dietary supplementFreeze-Dried Grape Powder

    Freeze-dried Cabernet Sauvignon grape powder administered orally at a total dose of 16 g/day, equivalent to approximately 80 g of fresh grapes. The daily dose is divided into two servings, mixed with plain, low-fat yogurt without added sugar and consumed in the morning and afternoon for 3 weeks during the local grape harvest season. This is followed by 2 weeks without grape supplementation.

  • OtherPlain Low-Fat Yogurt

    Two daily servings of plain, low-fat yogurt without added sugar, consumed in the morning and afternoon for 3 weeks.

  • BehavioralMediterranean-Style Dietary Guidance

    Both arms receive the same dietary guidance based on a Mediterranean dietary pattern.

06

What researchers measure

Primary outcomes

  1. Change in circulating plasma microRNA expression

    Differential expression of circulating microRNAs in plasma, comparing changes from baseline between the grape supplementation and control arms at the end of the intervention and after follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

Secondary outcomes

  1. Change in DNA methylation in promoter regions of selected genes

    Changes in DNA methylation in the promoter regions of selected genes, measured by pyrosequencing after bisulfite treatment of DNA isolated from peripheral blood mononuclear cells (PBMCs). Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and after follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  2. Change in serum metabolomic profile

    Changes in the serum metabolomic profile assessed by proton nuclear magnetic resonance (1H-NMR). Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and after follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  3. Change in gut microbiota diversity and composition

    Changes in bacterial diversity and composition assessed by 16S ribosomal RNA gene sequencing of stool samples. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and after follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  4. Change in body weight

    Change in body weight, measured in kilograms, from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  5. Change in body mass index

    Change in body mass index (BMI), calculated as body weight in kilograms divided by height in meters squared (kg/m²), from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  6. Change in waist circumference

    Change in waist circumference, measured in centimeters, from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  7. Change in body composition assessed by bioelectrical impedance

    Changes in body composition assessed using a TANITA bioelectrical impedance device, comparing changes from baseline between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  8. Change in systolic and diastolic blood pressure

    Changes in resting systolic and diastolic blood pressure, measured in mmHg using two readings taken one minute apart. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  9. Change in resting heart rate

    Change in resting heart rate, measured in beats per minute, from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  10. Change in handgrip strength

    Change in handgrip strength assessed by handgrip dynamometry, comparing changes from baseline between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  11. Change in gait speed over a 4-meter distance

    Change in gait speed, measured in meters per second using a 4-meter walk test to assess functional performance. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  12. Change in fasting blood glucose

    Change in fasting blood glucose measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  13. Change in fasting insulin

    Change in fasting insulin measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  14. Change in glycated hemoglobin (HbA1c)

    Change in glycated hemoglobin (HbA1c) measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  15. Change in blood creatinine

    Change in blood creatinine measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  16. Change in liver enzyme levels

    Changes in blood liver enzyme levels measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  17. Change in blood lipid profile

    Changes in the blood lipid profile measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  18. Change in prothrombin measurements

    Changes in prothrombin measurements assessed using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  19. Change in blood ferritin

    Change in blood ferritin measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  20. Change in blood albumin

    Change in blood albumin measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  21. Change in platelet count

    Change in blood platelet count measured using standardized clinical laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  22. Change in blood melatonin levels

    Change in blood melatonin levels measured using standardized laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5)

  23. Change in blood cortisol levels

    Change in blood cortisol levels measured using standardized laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  24. Change in blood testosterone levels

    Change in blood testosterone levels measured using standardized laboratory methods. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  25. Change in blood triiodothyronine (T3) levels

    Change in blood triiodothyronine (T3) levels from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  26. Change in blood thyroxine (T4) levels

    Change in blood thyroxine (T4) levels from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  27. Change in complete blood count parameters

    Changes in complete blood count parameters from baseline to the end of the intervention and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  28. Liver stiffness assessed by shear-wave elastography

    Liver stiffness assessed by quantitative shear-wave ultrasound elastography in participants with overweight or obesity and MASLD.

    Time frame: Baseline (week 0).

  29. Change in Fibrosis-4 (FIB-4) index

    Changes in the Fibrosis-4 (FIB-4) index, a non-invasive liver fibrosis score calculated from age, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and platelet count, in participants with overweight or obesity and MASLD. Changes from baseline will be compared between the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  30. Change in AST-to-platelet ratio index (APRI)

    Changes in the AST-to-platelet ratio index (APRI), a non-invasive liver fibrosis score derived from blood AST levels and platelet count, in participants with overweight or obesity and MASLD. Changes from baseline will be compared between the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  31. Sleep-wake patterns assessed by a wrist-worn device

    Sleep-wake patterns recorded longitudinally using a wrist-worn device during the intervention and follow-up periods, comparing the grape supplementation and control arms.

    Time frame: Throughout the 3-week intervention and the subsequent 2-week follow-up (weeks 0-5).

  32. Sleep patterns assessed by a sleep diary

    Self-reported sleep patterns recorded using the American Academy of Sleep Medicine (AASM) sleep diary during the first week of intervention and the final week of follow-up, comparing the grape supplementation and control arms.

    Time frame: First week of intervention (week 1) and final week of follow-up (week 5).

  33. Sleep quality assessed by the Pittsburgh Sleep Quality Index (PSQI)

    Self-reported sleep quality assessed using the Pittsburgh Sleep Quality Index (PSQI).

    Time frame: Baseline (week 0).

  34. Physical activity assessed by the International Physical Activity Questionnaire-Short Form

    Self-reported physical activity assessed using the short form of the International Physical Activity Questionnaire (IPAQ-short).

    Time frame: Baseline (week 0).

  35. Change in Mediterranean diet adherence

    Changes in adherence to the Mediterranean dietary pattern assessed using the Mediterranean diet adherence questionnaire specified in the protocol. Changes from baseline will be compared between the grape supplementation and control arms at the end of the intervention and follow-up.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  36. Dietary intake assessed by a 48-hour dietary record

    Dietary intake assessed using participant-completed 48-hour dietary records at baseline, the end of the intervention, and follow-up, comparing the grape supplementation and control arms.

    Time frame: Baseline (week 0), end of intervention (week 3), and end of follow-up (week 5).

  37. Occurrence of adverse events

    Occurrence of adverse events recorded during the grape supplementation or control intervention and the subsequent follow-up period.

    Time frame: Throughout the 3-week intervention and the subsequent 2-week follow-up (weeks 0-5).

07

Study locations

1 site
  • Hospital Universitari Joan XXIII - Unitat d'Investigació Clínica, IRB CatSud
    Tarragona, Tarragona 43005, Spain
08

References and documents

Publications

  • Escobar-Martinez I, Arreaza-Gil V, Arola-Arnal A, Muguerza B, Mulero M, Suarez M, Torres-Fuentes C. Circannual Rhythms Affect the Bioavailability of Phenolic Compounds from Grape Seed Proanthocyanidins Extract Differently in Healthy and Obese Fischer 344 Rats. J Agric Food Chem. 2025 Oct 8;73(40):25329-25339. doi: 10.1021/acs.jafc.5c03952. Epub 2025 Sep 26. PubMed 41002217 ↗
  • Ribas-Latre A, Baselga-Escudero L, Casanova E, Arola-Arnal A, Salvado MJ, Blade C, Arola L. Dietary proanthocyanidins modulate BMAL1 acetylation, Nampt expression and NAD levels in rat liver. Sci Rep. 2015 Jun 8;5:10954. doi: 10.1038/srep10954. PubMed 26051626 ↗
  • Soliz-Rueda JR, Lopez-Fernandez-Sobrino R, Torres-Fuentes C, Bravo FI, Suarez M, Mulero M, Muguerza B. Metabolism disturbance by light/dark cycle switching depends on the rat health status: the role of grape seed flavanols. Food Funct. 2023 Jul 17;14(14):6443-6454. doi: 10.1039/d3fo00260h. PubMed 37377055 ↗
  • Arreaza-Gil V, Palacios-Jordan H, Romero MDM, Torres-Fuentes C, Rodriguez MA, Remesar X, Fernandez-Lopez JA, Arola-Arnal A. Administration time effect of dietary proanthocyanidins on the metabolome of Fischer 344 rats is sex- and diet-dependent. Food Funct. 2023 Jul 31;14(15):6941-6956. doi: 10.1039/d3fo01551c. PubMed 37432474 ↗
  • Ribas-Latre A, Baselga-Escudero L, Casanova E, Arola-Arnal A, Salvado MJ, Arola L, Blade C. Chronic consumption of dietary proanthocyanidins modulates peripheral clocks in healthy and obese rats. J Nutr Biochem. 2015 Feb;26(2):112-9. doi: 10.1016/j.jnutbio.2014.09.006. Epub 2014 Oct 13. PubMed 25459887 ↗
  • Ribas-Latre A, Del Bas JM, Baselga-Escudero L, Casanova E, Arola-Arnal A, Salvado MJ, Arola L, Blade C. Dietary proanthocyanidins modulate melatonin levels in plasma and the expression pattern of clock genes in the hypothalamus of rats. Mol Nutr Food Res. 2015 May;59(5):865-78. doi: 10.1002/mnfr.201400571. Epub 2015 Mar 23. PubMed 25677201 ↗
  • Rodriguez RM, Colom-Pellicer M, Hernandez-Baixauli J, Calvo E, Suarez M, Arola-Arnal A, Torres-Fuentes C, Aragones G, Mulero M. Grape Seed Proanthocyanidin Extract Attenuates Cafeteria-Diet-Induced Liver Metabolic Disturbances in Rats: Influence of Photoperiod. Int J Mol Sci. 2024 Jul 14;25(14):7713. doi: 10.3390/ijms25147713. PubMed 39062955 ↗
  • Arreaza-Gil V, Escobar-Martinez I, Suarez M, Bravo FI, Muguerza B, Arola-Arnal A, Torres-Fuentes C. Gut Seasons: Photoperiod Effects on Fecal Microbiota in Healthy and Cafeteria-Induced Obese Fisher 344 Rats. Nutrients. 2022 Feb 8;14(3):722. doi: 10.3390/nu14030722. PubMed 35277081 ↗
  • Arola-Arnal A, Cruz-Carrion A, Torres-Fuentes C, Avila-Roman J, Aragones G, Mulero M, Bravo FI, Muguerza B, Arola L, Suarez M. Chrononutrition and Polyphenols: Roles and Diseases. Nutrients. 2019 Oct 30;11(11):2602. doi: 10.3390/nu11112602. PubMed 31671606 ↗
  • Ibars M, Aragones G, Ardid-Ruiz A, Gibert-Ramos A, Arola-Arnal A, Suarez M, Blade C. Seasonal consumption of polyphenol-rich fruits affects the hypothalamic leptin signaling system in a photoperiod-dependent mode. Sci Rep. 2018 Sep 11;8(1):13572. doi: 10.1038/s41598-018-31855-y. PubMed 30206280 ↗
  • Iglesias-Carres L, Mas-Capdevila A, Bravo FI, Arola L, Muguerza B, Arola-Arnal A. Exposure of Fischer 344 rats to distinct photoperiods influences the bioavailability of red grape polyphenols. J Photochem Photobiol B. 2019 Oct;199:111623. doi: 10.1016/j.jphotobiol.2019.111623. Epub 2019 Sep 10. PubMed 31525717 ↗
  • Manocchio F, Soliz-Rueda JR, Ribas-Latre A, Bravo FI, Arola-Arnal A, Suarez M, Muguerza B. Grape Seed Proanthocyanidins Modulate the Hepatic Molecular Clock via MicroRNAs. Mol Nutr Food Res. 2022 Dec;66(23):e2200443. doi: 10.1002/mnfr.202200443. Epub 2022 Oct 26. PubMed 36189890 ↗
  • Soliz-Rueda JR, Lopez-Fernandez-Sobrino R, Bravo FI, Aragones G, Suarez M, Muguerza B. Grape Seed Proanthocyanidins Mitigate the Disturbances Caused by an Abrupt Photoperiod Change in Healthy and Obese Rats. Nutrients. 2022 Apr 27;14(9):1834. doi: 10.3390/nu14091834. PubMed 35565801 ↗
09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Sep 2026 (actual). Primary completion is estimated for Nov 2026, 1 month after the start.

Of 1,356 non-industry interventional studies with no phase under Overweight, half reached primary completion within 18 months of starting (the median), counting those still running; a quarter within 8 and three quarters within 38. This study's planned 1 month is below that.

Counting every sponsor, half of 1,472 studies reached it within 17 months; a quarter within 7 and three quarters within 36.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 14, 2026
First posted
Oct 21, 2026
StartActual
Sep 28, 2026
Primary completionEst.
Nov 6, 2026
CompletionEst.
Nov 6, 2026
Last update
Oct 21, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Oct 21, 2026
Show all 1 update
  1. Oct 21, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07886788
Lead sponsor
University Rovira i Virgili
Responsible party
Paula Martínez (PhD student, University Rovira i Virgili) — Principal investigator
First posted
Oct 21, 2026
Start date
Sep 28, 2026
Primary completion
Nov 6, 2026 (estimated)
Completion
Nov 6, 2026 (estimated)
Last update
Oct 21, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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